1. What Is MDM — Definitions & Scope

2. Why MDM Matters: Business Benefits & Risks

3. Domains of Master Data: Customer, Product, Supplier, Location, Finance

4. Principles of Good Master Data: Accuracy, Consistency, Completeness, Uniqueness

5. Data Quality Fundamentals in MDM Context

6. Master Data vs Transaction Data vs Reference Data

7. Metadata, Data Dictionaries & Taxonomies

8. Data Governance Framework for MDM

9. Organizational Roles: Data Stewards, Data Owners, MDM Architect

10. MDM Lifecycle Overview

11. MDM Use Cases: 360° Customer View, Single Source of Truth

12. Reference Data Management — Standards & Code Lists

13. Data Lineage & Provenance in MDM

14. Data Models: Relational, ER, Graph — For Master Data

15. Unique Identifiers & Surrogate Keys Strategy

16. Data Matching & De-duplication Concepts

17. Identity Resolution & Master Record Linking

18. Hierarchy Management (Customer & Product hierarchies)

19. Data Ownership & Stewardship Governance

20. MDM Policy & Standards Drafting

21. Change Management & Versioning of Master Data

22. MDM Program Roadmap Planning

23. MDM Maturity Models & KPIs

24. Common Pitfalls & Failures in MDM Initiatives

25. Capstone: Define MDM Scope & Domain — Mock Project